temporal-gui-precision-control

name

temporal-gui-precision-control

description

Use this skill when the task requires actions to be timed perfectly, such as waiting for a hidden element to appear, holding a button for a specific duration, or clicking a target that is moving or changing. Trigger it for requests like "wait a few seconds before acting," "hold the button down," "be quick and tap it multiple times," "click it three times as it moves," or "patience is required to find the password."

Skill: temporal-gui-precision-control

1. Capability Definition & Real Case

• Professional Definition: The capability to execute GUI actions within specific temporal constraints, encompassing duration-based interactions (holding elements), time-delay synchronization (waiting for state transitions), and high-frequency or reactive execution (clicking moving targets or rapid-fire tapping). This requires the agent to coordinate its internal execution clock with dynamic on-screen indicators like timers, progress bars, or movement patterns.
• Dimension Hierarchy: Reliable and Aligned Operation->Safe and Efficient Control->temporal-gui-precision-control

Real Case

[Case 1]

• Initial Environment: A web browser is open on a blank page with a single text box and a hidden label that only populates after a server-side delay. There are no immediate buttons to click.
• Real Question: Patience is a virtue. Wait for the perfect amount of time to reveal the password and enter it below.
• Real Trajectory: Navigate to the designated URL, capture the static screen and observe the 'Waiting' message, initiate a polling or 'Wait' action to monitor the DOM for updates, identify the password string once it renders after 10 seconds, and type the revealed code into the input field.
• Real Answer: The password revealed by the delay is successfully entered.
• Why this demonstrates the capability: This case tests the agent's ability to handle temporal gaps where no immediate action leads to success. The agent must understand that the environment is in a transient state and must maintain focus over a duration-based 'no-op' period before the goal becomes attainable, demonstrating stable time-delay synchronization.

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[Case 2]

• Initial Environment: A GUI desktop environment shows a single large button labeled 'Hold to Unlock'. The system metadata indicates that the button only registers a 'Success' state if the mouse-down event persists for more than 3000 milliseconds.
• Real Question: Press and hold the button for exactly 3 seconds to get the secret code.
• Real Trajectory: Locate the 'Hold to Unlock' button, perform a 'MouseDown' action at the center coordinates, maintain the button-down state while monitoring the system clock or an on-screen progress bar, and execute the 'MouseUp' action only after exactly 3.0 seconds have elapsed.
• Real Answer: The secret code is displayed after the 3-second hold.
• Why this demonstrates the capability: Duration-based interaction is a core precision capability. The agent must move beyond discrete clicks to manage the 'state of the button' over time, precisely calculating when to terminate an action based on a temporal threshold, which is a key requirement for advanced GUI controls like sliders or secure toggles.

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[Case 3]

• Initial Environment: An interactive canvas application features a 'Bullseye' target that moves in a randomized linear path across the viewport, increasing in velocity every time it is successfully hit.
• Real Question: Click the moving target three times - but watch out, it gets faster!
• Real Trajectory: Identify the target's starting position and motion vector, calculate the intersection of the cursor and the target's future coordinates, execute a precise click on the moving object, and repeat the prediction-action cycle two more times as the environment's speed increases.
• Real Answer: The target is hit 3 times and the task signals completion.
• Why this demonstrates the capability: This requires reactive temporal-spatial coordination. The agent must process visual updates in real-time and synchronize its action dispatch with the moving window of opportunity, testing high-frequency precision control under dynamic conditions.

Pipeline Execution Instructions

To synthesize data for this capability, you must strictly follow a 3-phase pipeline. Do not hallucinate steps. Read the corresponding reference file for each phase sequentially:

1. Phase 1: Environment Exploration Read the exploration guidelines to discover raw knowledge seeds: references/EXPLORATION.md

2. Phase 2: Trajectory Selection Once Phase 1 is complete, read the selection criteria to evaluate the trajectory: references/SELECTION.md

3. Phase 3: Data Synthesis Once a trajectory passes Phase 2, read the synthesis instructions to generate the final data: references/SYNTHESIS.md